Aidong Lu

Associate Professor
Department of Computer Science
University of North Carolina at Charlotte

a
a
http://www.cs.uncc.edu/~alu1/
+1 (704) 687-8570 (Tel)



Illustrative Visualization (ITCS6124 & ITCS8124)



Illustrative Visualization is an introduction course to data science of many real-life datasets, such as networks, images, scientific datasets, geographical datasets, bioinformatics datasets, time-varying datasets, multivariate datasets, and streaming data. The course will cover the state-of-the-art of illustrative visualization techniques, which transform large-scale, complex datasets to succinct and informative visualization styles and preserve important data features at the same time.

We will provide a number of example applications to teach students how to solve data problems by designing, implementing, and evaluating effective visualization and visual analytics approaches.

Example topics:
D3 - web-based visualization
Immersive visualization
Time-varying visualization
Geo visualization
Streaming visualization
Storytelling
Animated visualization
network visualization
Point visualization
Line visualization
Visual analytics
Perception
Interaction design
Evaluation

The class will also provide students opportunities to work with Oculus Rift (https://www.oculus.com/en-us/rift/) and Microsoft HoloLens (https://www.microsoft.com/microsoft-hololens/en-us), design, develop, and evaluate visualization modules.

a a

Course format: Mixed lectures and student participations

Course projects: Design, implementation, and evaluation projects, survey paper, visualization critique, and paper presentation.

Textbook: No textbook. Online resources will be used.

Questions are welcome through email.